Romexsoft Blog
Stay updated with our expert blog, where we share the latest insights on software development, emerging tech trends, industry tendencies, and best practices from our personal experience.
We also provide deep dives into AWS services, offering practical cases, useful tips, and well-thought-out strategies to help you navigate the Amazon cloud.
Given the complexity of balancing business objectives with technological demands, we have created this guide to help you choose and implement the optimal multi tenant architecture for SaaS applications using Java, Spring Boot, and AWS.
By the end of this article, you will understand how to select the optimal approach for your business requirements and how Romexsoft’s expertise can help you achieve your SaaS goals.
In particular, we will cover:
- What multi-tenancy in cloud computing is
- What the benefits and disadvantages of each multi tenant architecture are
- How to implement different types of architectures using Java, Spring Boot, and AWS
- How businesses can understand which type is the most suitable for their needs
Commentary from data scientist on how to improve diagnosis with clustering analysis models (DBSCAN), classification models, and forecasting models (using regression).
Comparison of using multiple suppliers vs single suppliers when outsourcing software development. Learn the pros and cons of choosing each option for your business.
Learn the use cases of Big Data for micro-targeting and customer journey personalization in e-commerce and how these could be leveraged in your business.
Learn the best practices for implementing the continuous delivery process to speed up your time-to-market by 20% and improve product quality.
Discover the benefits of implementing a fraud detection system (apart from catching the fraud) with insights how to build such system.
The best practices of knowledge sharing management that include advice on communication, the right tools and the process knowing framework for offshore teams.
The benefits of big data analysis for financial risk management explained with examples, use cases and commentary from experienced developers.
Learn how to build a robust credit card fraud detection algorithm in Java using Apache Spark and achieve 98.2% AUC rate.
